Proposed Algorithm. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30. حسب Hend Bayoumi (22693738)

الموضوعات:

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

الموضوعات:

Related Work Summary. حسب Hend Bayoumi (22693738)

الموضوعات:

Simulation parameters. حسب Hend Bayoumi (22693738)

الموضوعات:

Training losses for N = 10. حسب Hend Bayoumi (22693738)

الموضوعات:

Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. حسب Hend Bayoumi (22693738)

الموضوعات:

The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames. حسب Hend Bayoumi (22693738)

الموضوعات:

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

الموضوعات:

CDF of task latency, approximated as the inverse of the achieved computation rate. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. حسب Hend Bayoumi (22693738)

الموضوعات:

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

الموضوعات:

Supplementary file 1_Encodings of the weighted MAX k-CUT problem on qubit systems.pdf حسب Franz G. Fuchs (22776248)

"…This study explores encoding methods for MAX k-CUT on qubit systems by utilizing quantum approximate optimization algorithms (QAOA) and addressing the challenge of encoding integer values on quantum devices with binary variables. …"

Training results. حسب Jack B. Maguire (5123183)

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf حسب Muhammad Awais (263096)

"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …"